Maths > Probability > 4.0 Intersection and Union of Sets of Events

  Probability
    1.0 Basic Definitions
    2.0 Basic Notations
    3.0 Probability
    4.0 Intersection and Union of Sets of Events
    5.0 Conditional Probability
    6.0 Multiplication Theorem
    7.0 Independent Events
    8.0 Total Probability Theorem
    9.0 Bayes' Theorem
    10.0 Illustration for understanding the difference between total probability theorem and baye's theorem
    11.0 Probability Distribution of Random Variables
    12.0 Probability Distribution
    13.0 Mean and variance of a discrete random variable
    14.0 Binomial Distribution for Successive Events
    15.0 Mean and variance of binomial distribution

4.1 Exactly one event
When exactly one event has to occur then, $$P(exactly\;one\;event) = P({E_1}) + P({E_2}) - 2P({E_1} \cap {E_2}) = P({E_1} \cup {E_2}) - P({E_1} \cap {E_2})$$


Illustration 15. Harshitha visits her favourite hotel every week. The probability that she orders traditional food is $0.6$ , and the probability that she orders western food is $0.7$ . If the probability of orders both of them is $0.55$. Find the probability that she orders exactly one of these.

Solution: Probability that she orders traditional food is $0.6$
Probability that she orders western food is $0.7$.
Probability that she orders both is $0.55$.
Probability that she orders either traditional or western food = Probability that she orders traditional food + Probability that she orders western food - Probability that she orders both
$$ =0.6 + 0.70 - 0.55 = 0.75$$
Probability that she orders exactly one = Probability that she orders either traditional or western food - Probability that she orders both
$$0.75 - 0.55$$$$=0.2$$


Illustration 16. A certain restaurant has two cooks- the chief and his assistant. On any given day, the probability that the chief cook shows up for work is $0.97$ , the probability that the assistant shows up is $0.96$, and the probability that at least one shows up is $0.98$. Find the probability that only one of the two cooks show up.

Solution: Let $C$ be the event that chief cook shows up and $A$ be the event that the assistant shows up. Thus, $P(C) = 0.97$ and $P(A) = 0.96$.
Given that the probability of at least one of them showing up is $0.98$, thus , $P(A \cup C) = 0.98$.
We know that,
$$\begin{equation} \begin{aligned} P(A \cup C) = P(A) + P(C) - P(A \cap C) \\ P(A \cap C) = P(A) + P(C) - P(A \cup C) \\ P(A \cap C) = 0.96 + 0.97 - 0.98 \\ P(A \cap C) = 0.95 \\\end{aligned} \end{equation} $$
The probability of exactly one showing up is given as the difference between either of them showing up and both of them showing up.
$$P(exactly\;one) = P(A \cap \overline C ) + P(\overline A \cap C) = P(A \cup C) - P(A \cap C)$$
$$P(exactly\;one) = 0.98 - 0.95 = 0.03$$

Note:

If ${E_1},{E_2},{E_3}$ are three events,

1. $$P(atleast\;two\;occurs) = P({E_1} \cap {E_2}) + P({E_2} \cap {E_3}) + P({E_1} \cap {E_3}) - 2P({E_1} \cap {E_2} \cap {E_3})$$

2. $$P(exactly\;two\;occurs) = P({E_1} \cap {E_2}) + P({E_2} \cap {E_3}) + P({E_1} \cap {E_3}) - 3P({E_1} \cap {E_2} \cap {E_3})$$

3. $$P(exactly\;one\;occurs) = P({E_1}) + P({E_2}) + P({E_3}) - 2P({E_1} \cap {E_2}) - 2P({E_3} \cap {E_2}) - 2P({E_1} \cap {E_3}) + 3P({E_1} \cap {E_2} \cap {E_3})$$


Comprehension:

A skill is an ability to perform an activity in a competent manner. Skills can be classified into three types, namely functional (transferable), personal traits (attitudes) and knowledge-based. A company calls for an interview. Probability that a person with functional skill gets selected is $0.38$, with nice attitude is $0.26$ and with a good knowledge is $0.14$. The probability of a person with functional skill and good attitude gets selected is $0.12$, with good knowledge and functional skill is $0.03$ and with good knowledge and attitude is $0.09$. As there are very few with all three skills, the probability that a person with all three skills gets selected is $0.01$. Answer the following ($17$ to $20$):
Illustration 17. The panel decides to select a person with exactly one of the skills. Find the probability of selecting under this condition.
Solution:
Let the events be,
$A$ - Person with functional skill gets selected.
$B$ - Person with good attitude gets selected.
$C$ - Person with good knowledge gets selected.
Given,
$$P(A) = 0.38$$
$$P(B) = 0.26$$
$$P(C) = 0.14$$
$$P(A \cap B) = 0.12$$
$$P(A \cap C) = 0.03$$
$$P(B \cap C) = 0.09$$
$$P(A \cap B \cap C) = 0.01$$

$$\begin{equation} \begin{aligned} P(exactly\;one) = P(A) + P(B) + P(C) - 2P(A \cap B) - 2P(A \cap C) - 2P(B \cap C) + 3P(A \cap B \cap C) \\ P(exactly\;one) = 0.38 + 0.26 + 0.14 - 2[0.12] - 2[0.03] - 2[0.09] + 3[0.01] \\ P(exactly\;one) = 0.38 + 0.26 + 0.14 - 0.24 - 0.06 - 0.18 + 0.03 = 0.33 \\\end{aligned} \end{equation} $$

Thus probability of a person with exactly one skill getting selected is $0.33$


Illustration 18. The management feels that an employee must have at least two of these skills for the betterment of management. What is the probability under the above condition?

Solution: We know that,
$$P(atleast\;two) = P(atleast\;one) - P(exactly\;one)$$
Thus,
$$\begin{equation} \begin{aligned} P(atleast\;two) = P(A \cap B) + P(A \cap C) + P(B \cap C) - 2P(A \cap B \cap C) \\ P(atleast\;two) = 0.12 + 0.03 + 0.09 - 2[0.01] = 0.24 - 0.02 \\ P(atleast\;two) = 0.22 \\\end{aligned} \end{equation} $$
Thus the probability that the panel selects a person with at least two skills is $0.22$.


Illustration 19. The Human Resource after a year-long research finds that a person holding exactly two of the above mentioned skills performs better than other employees. What is the probability of selection in this case.

Solution: We know that,
$$P(exactly\;two) = P(atleast\;two) - P(all\;three)$$
$$\begin{equation} \begin{aligned} P(exactly\;two) = P(A \cap B) + P(A \cap C) + P(B \cap C) - 2P(A \cap B \cap C) - P(A \cap B \cap C) \\ = P(A \cap B) + P(A \cap C) + P(B \cap C) - 3P(A \cap B \cap C) \\ = 0.12 + 0.03 + 0.09 - 3[0.01] = 0.24 - 0.03 = 0.21 \\\end{aligned} \end{equation} $$
Thus, the probability of selecting an employee with exactly two skills is $0.21$.


Illustration 20. What is the probability that a person with none of the above mentioned skills gets selected?

Solution: Probability of selecting a person with none of these skills is = $1$ - probability of at least one.
Probability of at least one = $P(A \cup B \cup C)$
$$P(A \cup B \cup C) = P(A) + P(B) + P(C) - P(A \cap B) - P(A \cap C) - P(B \cap C) + P(A \cap B \cap C)$$

$$\begin{equation} \begin{aligned} P(A \cup B \cup C) = 0.38 + 0.26 + 0.14 - 0.12 - 0.03 - 0.09 + 0.01 \\ P(A \cup B \cup C) = 0.55 \\ P(\bar A \cap \bar B \cap \bar C) = 1 - P(A \cup B \cup C) \\ P(\bar A \cap \bar B \cap \bar C) = 1 - 0.55 = 0.45 \\\end{aligned} \end{equation} $$

Thus, the probability that a company selects an employee with none of the above skills is, $0.45$.


Question 9. If $A$, $B$ and $C$ are three events, such that probability of occurrence of at least one event, $A$ or $B$ is $1 - p$, that of $B$ or $C$ is $1 - p$ and that of $A$ or $C$ is $1 - 2p$. The probability of all three occurring simultaneously is ${p^2}$, then find the range of probability for occurrence of at least one event.

Solution: Given,
$$\begin{equation} \begin{aligned} P(exactly\;one\;out\;of\;A\;or\;B) = P(A) + P(B) - 2P(A \cap B) = 1 - p\;\;\; \to (i) \\ P(exactly\;one\;out\;of\;B\;or\;C) = P(B) + P(C) - 2P(B \cap C) = 1 - p\;\;\; \to (ii) \\ P(exactly\;one\;out\;of\;A\;or\;C) = P(A) + P(C) - 2P(A \cap C) = 1 - 2p \to (iii) \\ P(A \cap B \cap C) = {p^2}\; \to (iv) \\\end{aligned} \end{equation} $$
Adding (i), (ii) and (iii),
$$2\left[ {P(A) + P(B) + P(C) - P(A \cap B) - P(B \cap C) - P(A \cap C)} \right] = 3 - 4p$$
Probability that at least one out of the three occurs be $m$,
$$\begin{equation} \begin{aligned} m = P(A \cup B \cup C) = P(A) + P(B) + P(C) - P(A \cap B) - P(B \cap C) - P(A \cap C) + P(A \cap B \cap C) \\ m = {{3 - 4p} \over 2} + {p^2} = {p^2} - 2p + {3 \over 2} = {(p - 1)^2} + {1 \over 2} > {1 \over 2} \\\end{aligned} \end{equation} $$

By definition of probability, $$0 \le P(A) \le 1$$
Thus,
$${1 \over 2} < m \le 1$$


Question 10. If there are three events $A$, $B$ and $C$, probability of occurrence of at least one event, $A$ or $B$ is same as the probability of occurrence of at least one event, $C$ or $B$ and probability of occurrence of at least one event, $A$ or $C$. If each of these is $x$ , and probability of occurrence of all three simultaneously is ${x^2}$, where $0 < x < {1 \over 2}$, then find probability of occurrence of at least one of the three events $A$, $B$ and $C$.

Solution: Given,
$$\begin{equation} \begin{aligned} P(exactly\;one\;out\;of\;A\;or\;B) = P(A) + P(B) - 2P(A \cap B) = x\; \to (i) \\ P(exactly\;one\;out\;of\;B\;or\;C) = P(B) + P(C) - 2P(B \cap C) = x\; \to (ii) \\ P(exactly\;one\;out\;of\;A\;or\;C) = P(A) + P(C) - 2P(A \cap C) = x \to (iii) \\ P(A \cap B \cap C) = {x^2}\;\;\; \to (iv)\; \\\end{aligned} \end{equation} $$
Adding (i), (ii) and (iii),
$$2\left[ {P(A) + P(B) + P(C) - P(A \cap B) - P(B \cap C) - P(A \cap C)} \right] = 3x$$
Probability that at least one out of the three occurs be $p$,
$$p = P(A \cup B \cup C) = P(A) + P(B) + P(C) - P(A \cap B) - P(B \cap C) - P(A \cap C) + P(A \cap B \cap C)$$
$$P(A \cup B \cup C) = {{3x + 2{x^2}} \over 2}$$


Question 11. The probabilities that a student passes in Science, Social and Mathematics be $a$, $b$, $c$ respectively. The student has $50\% $ chance of passing in at least two, $40\% $ chance of passing in exactly two and $75\% $ chances of passing in at least one. Find the value of $a + b + c$ and also find the chance of passing in exactly one.

Solution: Let $A$, $B$ and $C$ the events of a student passing in Science, Social and Mathematics respectively.
Given that,
$P(A) = a$
$P(B) = b$
$P(C) = c$
$P(A \cup B \cup C) = 0.75$
$$\begin{equation} \begin{aligned} P(atleast\;two) = P(A \cap B) + P(B \cap C) + P(A \cap C) - 2P(A \cap B \cap C) = 0.5 \\ P(exactly\;two) = P(A \cap B) + P(B \cap C) + P(A \cap C) - 3P(A \cap B \cap C) = 0.4 \\ P(atleast\;two) - P(exactly\;two) = P(A \cap B \cap C) = 0.5 - 0.4 = 0.1 \\\end{aligned} \end{equation} $$

Thus,
$$P(A \cap B) + P(B \cap C) + P(A \cap C) - 2P(A \cap B \cap C) = P(A \cap B) + P(B \cap C) + P(A \cap C) - 2(0.1) = 0.5$$
$$ \Rightarrow P(A \cap B) + P(B \cap C) + P(A \cap C) = 0.7$$
Now,
$$\begin{equation} \begin{aligned} P(A \cup B \cup C) = 0.75 \\ P(A \cup B \cup C) = P(A) + P(B) + P(C) - P(A \cap B) - P(B \cap C) - P(A \cap C) + P(A \cap B \cap C) \\ P(A) + P(B) + P(C) - [P(A \cap B) + P(B \cap C) + P(A \cap C)] + P(A \cap B \cap C) = P(A \cup B \cup C) \\ P(A) + P(B) + P(C) - 0.7 + 0.1 = 0.75 \\ P(A) + P(B) + P(C) = 1.35 \\ a + b + c = 1.35 \\ a + b + c = {{27} \over {20}} \\\end{aligned} \end{equation} $$

$$\begin{equation} \begin{aligned} P(exactly\;one) = P(A) + P(B) + P(C) - 2P(A \cap B) - 2P(B \cap C) - 2P(A \cap C) + 3P(A \cap B \cap C) \\ P(exactly\;one) = a + b + c - 2[P(A \cap B) + P(B \cap C) + P(A \cap C)] + 3P(A \cap B \cap C) \\ P(exactly\;one) = 1.35 - 2[0.7] + 3(0.1) \\ P(exactly\;one) = 1.35 - 1.4 + 0.3 \\ P(exactly\;one) = 0.25 = 25\% \\\end{aligned} \end{equation} $$

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